About this role
Salary: £39,000 - 79,000 per year
Requirements: Strong SQL skills with experience querying and manipulating large datasetsStrong Python experience in a data engineering environmentExperience building, maintaining, or optimizing data pipelines and data processesExperience working with AWS data engineering technologiesUnderstanding of data quality, validation, and governance practicesStrong analytical and problem-solving skillsExcellent attention to detailAbility to communicate complex technical concepts clearly and confidentlyExperience working with both technical and non-technical stakeholdersA proactive approach to identifying and implementing process improvementsAbility to manage priorities and deliver work in a fast-paced environmentExperience with AWS GlueExperience deploying Python-based data engineering workloads into production environmentsExperience automating data workflows using cloud-native servicesUnderstanding of batch processing, scheduling, and scalable data solutionsExperience within insurance, financial services, or another data-intensive industry Responsibilities: Lead customer underwriting proof-of-concept (POC) projects from initial request through final deliveryWork with customer-provided address data and match it to unique reference identifiersExtract, transform, and deliver risk intelligence data including factors such as flood, fire, and burglary riskProduce clear data outputs and supporting documentation, including data dictionaries, that allow customers to evaluate resultsInvestigate data-quality questions, coverage issues, and customer queries to ensure confidence in delivered outputsUse SQL and Python to extract, manipulate, validate, and prepare complex datasetsCollaborate with internal stakeholders to understand evolving business and customer requirementsSupport and enhance underwriting data platforms and associated data processesWork with the wider team to reduce single-person dependencies through knowledge sharing and cross-functional supportIdentify opportunities to automate manual activities within the POC lifecycleLeverage AWS technologies to improve scalability, efficiency, and repeatability of data processesContribute ideas and recommendations that improve team effectiveness, data quality, and customer experienceMaintain high-quality technical documentation and provide clear project updates to stakeholders Technologies: AWSAWS GlueCloudSupportPythonSQLAI More:
We are Verisk, a global data, analytics, technology, and domain expertise company helping businesses manage risk and make confident decisions. Within Verisk General Insurance UK, we provide market-leading data and analytics solutions for insurers, brokers, and industry partners across property, motor insurance, fraud prevention, and claims. You will join our Norwich-based team, working in a collaborative environment with Data Analysts and an experienced Data Engineer, with opportunities for cross-training, knowledge sharing, and exposure to multiple areas of data engineering. We offer a competitive compensation package aligned with market benchmarks and experience, with eligible incentive opportunities, and benefits that vary by location but may include medical coverage, life insurance, pension plans, paid time off, wellness initiatives, fitness programs, and team-building activities. We are a Great Place to Work and value learning, caring, results, and a people-first culture focused on meaningful impact, collaboration, and career development.
last updated 40 week of 2026